Aloo Methi Recipe
- Take 4-5 potatos, peel and cut them up into cubes
- Get cut methi, or clean the methi (remove the big stems, use the leaves with smaller stems)
- Wash the methi
- Take 1.5 kadhchi mustard oil, put it on the pan
- Mustard oil needs to be heated (super heated) so that it lightens up, and the small goes away
- Usually you would do this before the oil/gas, but since we have more people we can do it in parallel - cut up the methi, doesn’t have to be too exact
- Once oil is losing its color, put the gas on low, and put the aloo in (so the oil doesn’t jump back up)
- Wait until the aloo is about 70-80% done (aloo shouldn’t’ be hard, but it shouldn’t be too mushy), then put in the methi
- Put in salt, red mirchi, garam masala, and the cut up dhaniya (no haldi)
- Mix it up, and keep cooking (doesn’t have to be a very high gas) until the potatoes are fully prepared, and the methi turns into a darker green color
uid: 202007111237 tags: #recipes
Discussion on dataprocessing layer
Pushing data into Aurora
People have used internal tools Data Flux, Data Path, that can help us push data from a batch path to tools like Aurora
We can use also Glue, and after version 10, Postgres introduced direct import from S3.
We should try to rely on the native tools
Two main datasets - ASIN Deep Dive, IDQ Deep Dive, conversion dashboard (Conversion dashboard has a request to have more ASINs on the dashboard)
Also have an open request for retail FastTrack
The idea is to set up the underlying infrastructure once, the effort should be very minimal to onboard a new metric
Q: Are we planning on using the Coral framework? A: We will not be using Coral, we will be using the native tools.
For the UI, we want to be reusing the existing business reporting, just duplicate the page, we don’t want to be making anything new for the front end
Q: With duplicating, do you mean that we have the same component in the page, or are we duplicating that somehow. A: You have two pages, business reporting and asin level reporting, just rename the names, but the layout and all the other options are the same. For the asin level reporting, we might need to think how to customize the columns that are shown in the report, because the existing thing only have static columns
JIYU Tech Spec: https://w.amazon.com/bin/view/Associates/JIYU/TechSpec/
Has a list of the pipelines, we can do some research Ripple: Distributed database, https://w.amazon.com/bin/view/BroadwayDataPlatform/BroadwayDataPlatform/Ripple
uid: 202007100900 tags: #meetings #amazon
Amazon Aurora (Aurora) is a fully managed relational database engine that’s compatible with MySQL and PostgreSQL. You already know how MySQL and PostgreSQL combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. The code, tools, and applications you use today with your existing MySQL and PostgreSQL databases can be used with Aurora. With some workloads, Aurora can deliver up to five times the throughput of MySQL and up to three times the throughput of PostgreSQL without requiring changes to most of your existing applications.
Aurora includes a high-performance storage subsystem. Its MySQL- and PostgreSQL-compatible database engines are customized to take advantage of that fast distributed storage. The underlying storage grows automatically as needed, up to 64 tebibytes (TiB). Aurora also automates and standardizes database clustering and replication, which are typically among the most challenging aspects of database configuration and administration.
uid: 202007082055 tags: #amazon
Meeting With Balaji
- Scrum methodology - what is the lifecycle of the team? What are the upcoming sprints look like?
- Team operates in sprints of 2 weeks. Prioritizes SIMs from users (basically a ticket, they put a description and what they want). Go through that and prioritize upcoming sprint. At the start of the sprint, work should be scoped out over the next 10 days. Have a show and tell at the end of the sprint.
- Email not sending, but I figured it out
- Most recent OP1 document of the team
- Issue with address tax filings
Balaji has to provide the granularity, filters, number of users, etc. Today and tomorrow, can focus more into CDK, dive deep into Lambda, fargate, etc Challenges of building an API with dynamo DB vs Postgres -> Need to understand the kind of data of it supports, data in parallel, just understand all the technical details about how the functionality works
Dynamo DB with test account I’ll write down tasks
uid: 202007061018 tags: #meetings #amazon
Daily review 07-05-20
How did your goals turn out today?
Be organized.
Missed: Was supposed to clear out all of the inboxes in my things. Good
Do my best on all my commitments.
Did a good amount of homework at least!
Be practically independent.
Cooked garlic noodles with mama
Grow grow grow.
Learned go! Made some dumb mistakes, but generally picking up the strategy.
Changed my reddit so that the subreddits are pretty good this time.
Added some more thoughts about things 3 AppleScript projects - pretty excited. Now just have to actually learn AppleScript and implement them :)
Develop my social network.
Talked with zhengdong, but didn’t meet with Kristen :(
Be a good son/brother/boyfriend/friend
Hung out with parents a decent amount, had mulan talk with Trisha which was nice, and had a good talk with mulan/zhengdong as well.
Missed: Didn’t end up talking with japjot
Contribute to the world
Talked with mulan about contributing more by letting people know when they’re being unreasonable? Ish
Be more forward-thinking
Doing a review rn! Which is good. Told mama daddy about the whey protein, so they’ll remember it.
Be more disciplined
Wanted to go downstairs to grab chips Missed: Was not very disciplined in terms of time spent on YouTube/masturbation.
Be physically healthy.
Got a haircut! Cleaned myself up physically. Missed: Didn’t do much exercise. Going to make up for it tomorrow.
Any other thoughts?
Rescuetime experiment wasn’t too successful, because I woke up late. Going to try it starting tomorrow.
uid: 202007060144 tags: #journal
Palak Paneer
Materials
- Spinach
- Paneer
- Garlic
- Tomato
- Carrot
- A bit of dal
- onion
Preparing the green vegetable stuff
- 1.5 muthi dal, wash and drown it in water
- Cut up one tomato and two carrots, doesn’t have to be too precise, and put in cooker
- wash spinach and put in cooker (we had to do this in a couple iterations)
- add dal (with 1 cup water) and put in cooker (dal ideally should be before the last iteration of spinach)
- put cooker on high gas immediately (don’t have to put the lid on)
- wait until leaves are wilting a bit (just until you can close the lid of the pressure cooker)
- after that, put lid on and keep in cooker until 7 minutes after the first whistle
- Slow Gas after first whistle
- wait for steam to manually release (after it stops sizzling and you can open the lid)
Preparing the rest
- Half of half packet paneer, cut up into cubes
- Peel garlic (7-9 cloves in winter), less in summer
- Cut up garlic into small pieces
- Cut up whole onion into small pieces
Grinding the spinach
- put the contents of the pressure cooker into the grinder (or hand mixer, but we dont have that)
- put in the grinder (has to be visual), till it becomes the consistency of the palak paneer
[at this point you can start grinding the spinach as well, see below]
- Take big pan / skillet
- 2 kadhchi olive oil
- let it warm up (2 min)
- put the garlic and let it sizzle for 30-40 seconds
- put the onion (until the onions get light link and soft)
- Add same spices as dal recipe 202006181031, except no haldi
- Put in grinded spinach, put the gas on low so it doesn’t start bubbling out
- Cook for 2-3 minutes on medium or slow flame
uid: 202007031119 tags: #recipes